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QACNN: Query-based Attention CNN

Implementation of my research:
Query-based Attention CNN for Text Similarity Map (https://arxiv.org/abs/1709.05036)

6 folders and 1 main script should be included :

  • preprocess

    • plot2vec.py
    • qa2vec.py
  • word_vec

    • register.json
    • glove.42B.300d.json
  • raw_data

    • plot
      • IMDB_KEY.split.wiki
    • question
      • qa.json
  • output_data

    • plot
    • question
  • utility

    • utility.py
  • model

    • MODEL.py
  • main.py

usage

  1. put the data given by MovieQA into raw_data folder (including IMDB_KEY.split.wiki and qa.json)
  2. download GloVe word2vec and put it into word_vec folder (GloVe: https://drive.google.com/file/d/0B3UsyrHYzsTzekMtbndMZXB1Ync/view?usp=sharing)
  3. run 2 scripts (plot2vec.py & qa2vec.py), and all the preprocessed data will automatically be saved to output_data folder
  4. run main.py

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